Puneet Jindal

Labellerr

Labellerr by Tensor Matics, Inc. 

We help fast growing AI teams in United States with high quality training labeled data for computer vision,  NLP, speech AI and other Multi-modal AI

You should prefer us if
1. you are looking to setup end to end data curation and annotation and evaluation pipeline 
2. you have sporadic and quick turn around time data annotation requirements 
3. Your workflow is not much fit in a generic data annotation tool
4. You might be already using open source such as CVAT, LabelStudio and now looking for a more robust, well documented, easy to use solution.

Our quality and responsiveness is better than Scale AI, Labelbox if you are before Series C funded and based out of United States

Read more at www.labellerr.com

Chief Executive Officer

AI Accelerator Institute

Connecting and empowering passionate AI infrastructure innovators. Join our Slack community and never miss out again!

Member

TiE Chandigarh

Membership Associate

Eduwaive Foundation

Eduwaive Foundation is an AI and data science company with the focus on using ML, Data Science, Artificial Intelligence, Cloud computing, Blockchain, IoT and other related technologies for socially good sectors such as education, agriculture, healthcare, smart city and hence, contribute to UNDP sustainable development goals.

Our Mission is to channelize youth towards social good by leveraging AI technology with the help of affordable, accessible and inclusive high quality AI education and make them an active partner of the social economic development of the country. 


For this we have come up with a platform with the name student360 which is launching end of this month. For now any student can go to http://www.eduwaive.org/student360 and mark their interest by registering for beta access.

Students will be able to do the following:-
1) Learn AI and latest technologies via webinars, workshops, blogathons and other guided learning under eduwaive rAIse program
2) Earn and gain experience via real life industry projects
3) Build your profile and be a part of innovation teams at various organisations by applying to various opportunities in jobs, entrepreneurship and research ecosystem

Chief Data Scientist

iSPIRT Foundation

Artificial Intelligence Maven

Google

We’re excited to bring Google's Machine Learning Study Jams to you. This program is intended for those who wish to learn ML from a practical, applied perspective that will enable them to use machine learning in their projects, and who wish to benefit from the power of TensorFlow wrapped in convenient higher-level abstractions. This program not only focuses on training ML but also on building ecosystem for ML enthusiasts.  This is a great opportunity for you to gain some practical experience in ML,TensorFlow and to meet/learn/work with like minded people.

https://developers.google.com/machine-learning/crash-course/

Machine Learning Volunteer Trainer for MLCC

RateGain

Roles and Responsibilities
•	Responsible for implementation of Revenue management across multiple products using forecasting techniques such as ARIMA, Holts Winter and ML techniques such as KNN, RF, XGBoost, NN with backpropagation
•	Sentiment Analysis and Text Mining using NLP with deep learning algorithms such as RNN(LSTMs) and Topic modeling techniques such as LDA, TensorFlow models textsum, syntaxnet and FB fastText. This work is in POC stage.
•	Image to text for Destination profiling with the help of TensorFlow model im2txt, FB deepmask and multipathnet, Stanford Densecap
•	Ideation on the core engine of Travel Intelligence Platform with computer vision 
•	Trainings on Python for day to day machine learning and NLP with deep learning

Lead Data Scientist

Packt

Deep Learning with Advanced Tensorflow

Coursera

It involves supporting weekly engagement to resolve queries on concepts related to machine learning algorithms on case studies ranging from regression, classification , sentiment analysis, recommendation systems, to deep learning algorithms

Mentor at University of Washington Machine Learning with case study approach

Edureka

Deep learning while covering CNN, RNN/LSTMs, Restricted Boltzmann Machines, Auto-encoders, Deep Belief Networks

Deep Learning with TensorFlow Mentor

As the CEO of Labellerr, my focus is on unlocking the potential of AI teams through specialized training data for computer vision, NLP, and multi-modal AI applications. We provide a superior alternative to generic annotation tools, ensuring high quality, responsiveness, and customization for U.S.-based AI ventures

With a tenure surpassing four years at the helm of Labellerr, my expertise lies in constructing robust data annotation frameworks that support the unique needs of AI developers. Our platform's excellence is recognized in the industry, with a reputation for quality that rivals major players like Scale AI,  Labelbox, Roboflow. 

My commitment is to empower AI teams, enabling them to concentrate on core innovation, drawing from a decade of personal experience in the field.

We help fast growing AI teams in United States with high quality training labeled data for computer vision,  NLP, speech AI and other Multi-modal AI

You should prefer us if
1. you are looking to setup end to end data curation and annotation and evaluation pipeline 
2. you have sporadic and quick turn around time data annotation requirements 
3. Your workflow is not much fit in a generic data annotation tool
4. You might be already using open source such as CVAT, LabelStudio and now looking for a more robust, well documented, easy to use solution.

Our quality and responsiveness is better than Scale AI, Labelbox if you are before Series C funded and based out of United States

Read more at www.labellerr.com

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